A Climate Change Damage Function (CCDF) is a reduced form relationship linking macroeconomic aggregates (e.g., potential GDP) to climate indicators (e.g., average temperature levels). This function is used in a variety of studies about climate change impacts and policy analysis. However, despite...

Unlike in Asia, the manufacturing sector has not (yet) become a driver of structural change in Africa. One common explanation is that the natural resource-focus of many African economies leads to Dutch disease effects. To test this argument for the case of newly found oil in Ghana we develop a...

In this paper we develop a new methodology for finding optimal government policies in economies with heterogeneous agents. The methodology is solely based on three classes of equilibrium conditions from the government's and individual agent's optimization problems: 1) the first order conditions;...

Climate change damage (or, more correctly, impact) functions relate variations in temperature (or other climate variables) to economic impacts in various dimensions, and are at the basis of quantitative modeling exercises for the assessment of climate change policies. This document provides a...

Climate change damage (or, more correctly, impact) functions relate variations in temperature (or other climate variables) to economic impacts in various dimensions, and are at the basis of quantitative modeling exercises for the assessment of climate change policies. This document provides a...

This paper quantifies the macroeconomic impacts of the Clean Development Mechanism (CDM) under the Kyoto Protocol based on a computable general equilibrium (CGE) model of international trade and energy use. Employing project-based CDM supply data we assess the relative importance of transaction...

This paper presents a framework to undertake likelihood-based inference in nonlinear dynamic equilibrium economies. The authors develop a sequential Monte Carlo algorithm that delivers an estimate of the likelihood function of the model using simulation methods. This likelihood can be used for...

In this paper, I show how gradient-based optimization methods can be used to estimate stochastic dynamic models in economics. By extending the state space to include all model parameters, I show that we need to solve the model only once to do structural estimation. Parameters are then estimated...

This paper provides a model-based assessment of local and global climate change impacts for the case of Yemen, focusing on agricultural production, household incomes and food security. Global climate change is mainly transmitted through rising world food prices. Our simulation results suggest...

Rebalancing alpha is the excess return of a fixed-weight portfolio, which is regularly rebalanced, over its buy-and-hold counterpart. Two kinds of effects, both results of portfolio rebalancing, contribute to rebalancing alpha. The first is a volatility effect that arises from randomness of...